Author

Alyssa R. Wenzel

North Carolina State University

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Cell Biology· 1

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Approach:Bayesian inference· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:spatial transcriptomics· 1 Research Focus:trajectory inference· 1

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Jason M. HaughiD· 1 shared John T. NardiniiD· 1 shared Kevin FloresiD· 1 shared Kyle NguyeniD· 1 shared Patrick HaugheyiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperCell Biology

Jason M. HaughORCID

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1 paper

Recent·Most cited

Topologically-based parameter inference for agent-based model selection from spatiotemporal cellular data

Alyssa R. Wenzel, Patrick Haughey, Kyle Nguyen, John T. Nardini, Jason M. Haugh, Kevin Flores

The paper introduces TOPAZ, a framework that uses topological data analysis and Bayesian methods to infer agent-based models from spatiotemporal cellular data, showing it can accurately recover model parameters and distinguish between models.

PLoS Computational Biology · Sep 25, 2026Peer-reviewedCell Biology